[Remote] Offshore - AI Solutions Engineer
Note: The job is a remote job and is open to candidates in USA. Smartbridge is looking for an AI Engineer to develop and optimize AI-driven solutions using various AI frameworks and cloud platforms. The ideal candidate will have experience in AI engineering, machine learning models, and cloud-based AI services, focusing on integrating AI into business processes.
Responsibilities
- Develop and customize AI-driven solutions to enhance business workflows and automate processes
- Integrate AI services from providers such as Microsoft, OpenAI, and other leading platforms into enterprise applications
- Design, train, and optimize AI models for predictive analytics, automation, and intelligent decision-making
- Implement natural language processing (NLP), machine learning (ML), and automation models to improve user experiences
- Collaborate with business users and developers to define AI integration needs and solution requirements
- Perform data preprocessing, feature engineering, and fine-tuning of AI models
- Ensure AI models are secure, scalable, and optimized for performance
- Stay current on emerging AI tools, frameworks, and best practices
Skills
- 2-4 years of experience in AI engineering, machine learning models, and cloud-based AI services
- Strong understanding of integrating AI into business processes
- Experience with AI/ML frameworks and tools such as LangChain, OpenAI, Azure AI, or similar
- Python or R for AI/ML model development
- Cloud AI services such as Azure AI, AWS AI, or Google Cloud AI
- Large language models (LLMs) and prompt engineering for AI-driven applications
- Natural Language Processing (NLP) for text and conversation modeling
- Power Automate or similar workflow automation tools for AI integration
- Data Engineering: SQL, Power Query, and ETL operations
- Familiarity with Git, DevOps, and Agile methodologies
- Bachelor's degree in Computer Science, AI, Data Science, or related field
- 100% remote role – must be available for the second shift to overlap with the US team until Noon CST
- 3-month probation period before full-time confirmation. If certification is not already held, it must be completed during probation
- AI-related certifications such as Azure AI Engineer, AWS Machine Learning Specialty, or equivalent preferred
- Experience in industries such as Oil & Gas, Healthcare, or Food & Beverage is a plus
Benefits
- 100% remote role – must be available for the second shift to overlap with the US team until Noon CST.
- 3-month probation period before full-time confirmation.
- If certification is not already held, it must be completed during probation.
Company Overview
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